Temporal Knowledge for Timely Intelligence

Knowledge bases about entities and their relationships are a great asset for business intelligence. Major advances in information extraction and the proliferation of knowledge-sharing communities like Wikipedia have enabled ways for the largely automated construction of rich knowledge bases. Such knowledge about entity-oriented facts can greatly improve the output quality and possibly also efficiency of processing business-relevant documents and event logs. This holds for information within the enterprise as well as in Web communities such as blogs.

[1]  Bo Zhang,et al.  StatSnowball: a statistical approach to extracting entity relationships , 2009, WWW '09.

[2]  Gerhard Weikum,et al.  MENTA: inducing multilingual taxonomies from wikipedia , 2010, CIKM '10.

[3]  Simone Paolo Ponzetto,et al.  Deriving a Large-Scale Taxonomy from Wikipedia , 2007, AAAI.

[4]  Gerhard Weikum,et al.  Find your advisor: robust knowledge gathering from the web , 2010, WebDB '10.

[5]  Jens Lehmann,et al.  DBpedia: A Nucleus for a Web of Open Data , 2007, ISWC/ASWC.

[6]  Tim Berners-Lee,et al.  Linked Data - The Story So Far , 2009, Int. J. Semantic Web Inf. Syst..

[7]  Gerhard Weikum,et al.  SOFIE: a self-organizing framework for information extraction , 2009, WWW '09.

[8]  Mohamed Yahya,et al.  Time-aware Reasoning in Uncertain Knowledge Bases , 2010, MUD.

[9]  Douglas B. Lenat,et al.  CYC: a large-scale investment in knowledge infrastructure , 1995, CACM.

[10]  Gerhard Weikum,et al.  Coupling Knowledge Bases and Web Services for Active Knowledge , 2009 .

[11]  Gerhard Weikum,et al.  Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia , 2010, EDBT '10.

[12]  Gerhard Weikum,et al.  Active knowledge: dynamically enriching RDF knowledge bases by web services , 2010, SIGMOD Conference.

[13]  Li Fei-Fei,et al.  ImageNet: A large-scale hierarchical image database , 2009, CVPR.

[14]  James Pustejovsky,et al.  Automating Temporal Annotation with TARSQI , 2005, ACL.

[15]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[16]  Daisy Zhe Wang,et al.  WebTables: exploring the power of tables on the web , 2008, Proc. VLDB Endow..

[17]  Ming-Wei Chang,et al.  Learning and Inference with Constraints , 2008, AAAI.

[18]  Gerhard Weikum,et al.  Database and information-retrieval methods for knowledge discovery , 2009, CACM.

[19]  Pedro M. Domingos,et al.  Markov Logic: An Interface Layer for Artificial Intelligence , 2009, Markov Logic: An Interface Layer for Artificial Intelligence.

[20]  Katja Hose,et al.  ROXXI: Reviving witness dOcuments to eXplore eXtracted Information , 2010, Proc. VLDB Endow..

[21]  Oren Etzioni,et al.  Strategies for lifelong knowledge extraction from the web , 2007, K-CAP '07.

[22]  Gerhard Weikum,et al.  Gathering and ranking photos of named entities with high precision, high recall, and diversity , 2010, WSDM '10.

[23]  Gerhard Weikum,et al.  WWW 2007 / Track: Semantic Web Session: Ontologies ABSTRACT YAGO: A Core of Semantic Knowledge , 2022 .

[24]  Partha Pratim Talukdar,et al.  Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition , 2010, ACL.

[25]  Gerard de Melo,et al.  Information Extraction from Web-scale N-gram Data , 2010, SIGIR 2010.

[26]  Gerhard Weikum,et al.  From information to knowledge: harvesting entities and relationships from web sources , 2010, PODS '10.

[27]  Daniel S. Weld,et al.  Automatically refining the wikipedia infobox ontology , 2008, WWW.

[28]  Andrew McCallum,et al.  Scalable probabilistic databases with factor graphs and MCMC , 2010, Proc. VLDB Endow..

[29]  Daniel S. Weld,et al.  Temporal Information Extraction , 2010, AAAI.

[30]  Michael J. Cafarella.  Extracting and Querying a Comprehensive Web Database , 2009, CIDR.

[31]  Estevam R. Hruschka,et al.  Coupled semi-supervised learning for information extraction , 2010, WSDM '10.

[32]  Gerhard Weikum,et al.  YAGO: A Large Ontology from Wikipedia and WordNet , 2008, J. Web Semant..

[33]  Michael Skinner,et al.  Information arbitrage across multi-lingual Wikipedia , 2009, WSDM '09.

[34]  Oren Etzioni,et al.  Open Information Extraction from the Web , 2007, CACM.